| Market segments based on the dominant movement patterns of tourists JC Xia, FH Evans, K Spilsbury, V Ciesielski, C Arrowsmith, G Wright Tourism management 31 (4), 464-469, 2010 | 165 | 2010 |
| The land monitor project P Caccetta, A Allen, I Watson, B Beetson, G Behn, N Campbell, P Eddy, ... 10th Australasian Remote Sensing and Photogrammetry Conference, 2000 | 47 | 2000 |
| An investigation into the use of maximum likelihood classifiers, decision trees, neural networks and conditional probabilistic networks for mapping and predicting salinity FH Evans Curtin University of Technology, 1998 | 42 | 1998 |
| A simple and parsimonious generalised additive model for predicting wheat yield in a decision support tool K Chen, RA O'Leary, FH Evans Agricultural Systems 173, 140-150, 2019 | 41 | 2019 |
| Broad-scale spatial prediction of areas at risk from dryland salinity FH Evans, PA Caccetta Cartography 29 (2), 33-40, 2000 | 41 | 2000 |
| The Land Monitor Project: A Multi-agency project of the Western Australian Salinity Action Plan supported by the Natural Heritage Trust A Allen, B Beetson, G Behn, P Caccetta, NEP Campbell, F Evans, S Furby, ... proceedings of WALIS Forum, 74-77, 1999 | 30 | 1999 |
| Use of conditional probability networks for environmental monitoring HT Kiiveri, P Caccetta, F Evans International Journal of Remote Sensing 22 (7), 1173-1190, 2001 | 29 | 2001 |
| Detecting fish in underwater video using the em algorithm FH Evans Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 28 | 2003 |
| Integrating remotely sensed data with other spatial data sets to predict areas at risk from salinity F Evans, P Caccetta, R Ferdowsian 8th Australasian Remote Sensing Conference (ARSC), 1996 | 21 | 1996 |
| Long-term hindcasts of wheat yield in fields using remotely sensed phenology, climate data and machine learning FH Evans, J Shen Remote Sensing 13 (13), 2435, 2021 | 20 | 2021 |
| Using natural resource inventory data to improve the management of dryland salinity in the Great Southern, Western Australia N Campbell, R George, T Hatton, D McFarlane, D Pannell, M Van Bueren, ... CSIRO Mathematical and Information Science, 2000 | 20 | 2000 |
| Assessment of the use of geographically weighted regression for analysis of large on-farm experiments and implications for practical application FH Evans, A Recalde Salas, S Rakshit, CA Scanlan, C S. E. Agronomy 10 (11), 2020 | 18 | 2020 |
| Mapping and monitoring land use and condition change in the southwest of Western Australia using remote sensing and other data PA Caccetta, NA Campbell, F Evans, SL Furby, HT Kiiveri, JF Wallace Remote Sensing for Agriculture, Ecosystems, and Hydrology II 4171, 34-45, 2001 | 17 | 2001 |
| Predicting salinity in the Upper Kent River catchment FH Evans, P Caccetta, R Ferdowsian, HT Kiiveri, NA Campbell Land and Water Resources Research and Development Corporation, 1995 | 17 | 1995 |
| Novel approach to the analysis of spatially-varying treatment effects in on-farm experiments S Rakshit, A Baddeley, K Stefanova, K Reeves, K Chen, Z Cao, F Evans, ... Field crops research 255, 107783, 2020 | 14 | 2020 |
| An on-farm experimental philosophy for farmer-centric digital innovation S Cook, M Lacoste, F Evans, M Ridout, M Gibberd, T Oberthür 14th International Conference on Precision Agriculture, 2018 | 14 | 2018 |
| Collecting ground truth data for salinity mapping and monitoring S Furby, F Evans, J Wallace, R Ferdowsian, J Simons CSIRO Mathematical and Information Science, 1998 | 13 | 1998 |
| Salinity risk prediction using Landsat TM and DEM-derived data F Evans, P Caccetta 10th Australasian Remote Sensing and Photogrammetry Conference, 2000 | 12 | 2000 |
| Determining the number of clusters in a mixture by iterative model space refinement with application to free-swimming fish detection F Evans, M Alder, C deSilva Proc. of Digital Imaging Computing: Techniques and Applications, Sydney …, 2003 | 11 | 2003 |
| The potential of Landsat NDVI sequences to explain wheat yield variation in fields in Western Australia J Shen, FH Evans Remote Sensing 13 (11), 2202, 2021 | 10 | 2021 |
